7 papers
VM-BeautyNet: A Synergistic Ensemble of Vision Transformer and Mamba for Facial Beauty Prediction
Djamel Eddine Boukhari
Facial Beauty Prediction (FBP) is a complex and challenging computer vision task, aiming to model the subjective and intricate nature of human aesthetic perception. While deep lear…
FairViT-GAN: A Hybrid Vision Transformer with Adversarial Debiasing for Fair and Explainable Facial Beauty Prediction
Djamel Eddine Boukhari
Facial Beauty Prediction (FBP) has made significant strides with the application of deep learning, yet state-of-the-art models often exhibit critical limitations, including archite…
SynergyNet: Fusing Generative Priors and State-Space Models for Facial Beauty Prediction
Djamel Eddine Boukhari
The automated prediction of facial beauty is a benchmark task in affective computing that requires a sophisticated understanding of both local aesthetic details (e.g., skin texture…
Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction
Djamel Eddine Boukhari
Automated Facial Beauty Prediction (FBP) is a challenging computer vision task due to the complex interplay of local and global facial features that influence human perception. Whi…
Mamba-CNN: A Hybrid Architecture for Efficient and Accurate Facial Beauty Prediction
Djamel Eddine Boukhari
The computational assessment of facial attractiveness, a challenging subjective regression task, is dominated by architectures with a critical trade-off: Convolutional Neural Netwo…
Generative Pre-training for Subjective Tasks: A Diffusion Transformer-Based Framework for Facial Beauty Prediction
Djamel Eddine Boukhari, Ali chemsa
Facial Beauty Prediction (FBP) is a challenging computer vision task due to its subjective nature and the subtle, holistic features that influence human perception. Prevailing meth…